社区地球系统模型(CESM2)中剖面气溶胶微物理模型的描述和性能

IF 4 3区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Simone Tilmes, Michael J. Mills, Yunqian Zhu, Charles G. Bardeen, Francis Vitt, Pengfei Yu, David Fillmore, Xiaohong Liu, Brian Toon, Terry Deshler
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引用次数: 0

摘要

摘要我们将社区大气气溶胶和辐射模式(CARMA)应用于社区地球系统模式第2版(CESM2)的高顶模式和低顶模式。CARMA是一种截面微物理模型,我们将其用于对流层和平流层的气溶胶。CARMA与CESM2中的化学、云、辐射和运输程序完全耦合。这一发展使得在相同的建模框架下,能够对分段(CARMA)和模态(MAM4)气溶胶微物理模型的模拟进行比较。CARMA的新实施是从以前的工作中采用的,并增加了一些与当前CESM2模态气溶胶模型(MAM4)实施一致的内容。主要更新包括CARMA中的交互式二次有机气溶胶描述,使用挥发性基础集(VBS)方法,更新的湿法去除,以及使用气溶胶和微量气体的瞬态排放。此外,我们在CARMA中实施了一种替代的气溶胶成核方案,该方案也在MAM4中使用。Pinatubo火山喷发后平流层气溶胶特性的详细比较揭示了在更大的区域而不是在单个柱上规定硫注入的重要性,以更好地代表观测到的气溶胶演变。与观测值相比,CESM2中的CARMA和MAM4都能较好地反映平流层和对流层气溶胶特性。在CESM2中使用截面气溶胶模式时,两种气溶胶模式性能的几个差异总体上表明了气溶胶的改进表示。其中包括与MAM4相比,CARMA中Pinatubo火山爆发后气溶胶大小分布的更好表现。与CARMA相比,MAM4产生的气溶胶平均更小,去除量更少,因此总质量更大。CARMA和MAM4都在2001年至2020年观测的误差条内重现了平流层气溶胶光学深度(AOD),但最近较大的火山爆发被两种模式配置高估了。CARMA在平流层和对流层的背景表面积密度和气溶胶尺寸分布与观测值比较好,但对艾特肯模态尺寸范围有一定的低估。MAM4在再现平流层和对流层中粗模态气溶胶分布方面存在不足。与对流层和平流层的观测结果相比,这项工作概述了CESM2 CARMA改进模式的其他发展需要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Description and performance of a sectional aerosol microphysical model in the Community Earth System Model (CESM2)
Abstract. We implemented the Community Aerosol and Radiation Model for Atmospheres (CARMA) in both the high- and low-top model versions of the Community Earth System Model Version 2 (CESM2). CARMA is a sectional microphysical model, which we use for aerosol in both the troposphere and stratosphere. CARMA is fully coupled to chemistry, clouds, radiation, and transport routines in CESM2. This development enables the comparison of simulations with a sectional (CARMA) and a modal (MAM4) aerosol microphysical model in the same modeling framework. The new implementation of CARMA has been adopted from previous work, with some additions that align with the current CESM2 Modal Aerosol Model (MAM4) implementation. The main updates include an interactive secondary organic aerosol description in CARMA, using the volatility basis set (VBS) approach, updated wet removal, and the use of transient emissions of aerosols and trace gases. In addition, we implemented an alternative aerosol nucleation scheme in CARMA, which is also used in MAM4. Detailed comparisons of stratospheric aerosol properties after the Mount Pinatubo eruption reveal the importance of prescribing sulfur injections in a larger region rather than in a single column to better represent the observed evolution of aerosols. Both CARMA and MAM4 in CESM2 are able to represent stratospheric and tropospheric aerosol properties reasonably well when compared to observations. Several differences in the performance of the two aerosol models show, in general, an improved representation of aerosols when using the sectional aerosol model in CESM2. These include a better representation of the aerosol size distribution after the Mount Pinatubo volcanic eruption in CARMA compared to MAM4. MAM4 produces on average smaller aerosols and less removal than CARMA, which results in a larger total mass. Both CARMA and MAM4 reproduce the stratospheric aerosol optical depth (AOD) within the error bar of the observations between 2001 and 2020, except for recent larger volcanic eruptions that are overestimated by both model configurations. The CARMA background surface area density and aerosol size distribution in the stratosphere and troposphere compare well to observations, with some underestimation of the Aitken-mode size range. MAM4 shows shortcomings in reproducing coarse-mode aerosol distributions in the stratosphere and troposphere. This work outlines additional development needs for CESM2 CARMA to improve the model compared to observations in both the troposphere and stratosphere.
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来源期刊
Geoscientific Model Development
Geoscientific Model Development GEOSCIENCES, MULTIDISCIPLINARY-
CiteScore
8.60
自引率
9.80%
发文量
352
审稿时长
6-12 weeks
期刊介绍: Geoscientific Model Development (GMD) is an international scientific journal dedicated to the publication and public discussion of the description, development, and evaluation of numerical models of the Earth system and its components. The following manuscript types can be considered for peer-reviewed publication: * geoscientific model descriptions, from statistical models to box models to GCMs; * development and technical papers, describing developments such as new parameterizations or technical aspects of running models such as the reproducibility of results; * new methods for assessment of models, including work on developing new metrics for assessing model performance and novel ways of comparing model results with observational data; * papers describing new standard experiments for assessing model performance or novel ways of comparing model results with observational data; * model experiment descriptions, including experimental details and project protocols; * full evaluations of previously published models.
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